Squeezing a 27B LLM into a $700 GPU: A Masterclass in AI Platform Engineering
How low-level inference engineering, 4-bit quantization, and speculative decoding push 1,000+ tokens/sec out of a consumer RTX 3090.
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LLMOps & Production AI Infrastructure
DevOps & AI Architecture Dispatch
Join engineers receiving hands-on writeups on Kubernetes clustering, Terraform GitOps, distributed ML infrastructure, and low-latency LLMOps. No marketing fluff—strictly technical notes.
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Scaling Beyond a Single Box: Engineering Multi-Node Distributed LLM Serving for Production
How tensor parallelism, 200 Gb/s RoCE, and low-level runtime forensics turn raw multi-GPU hardware into a rock-solid, 1-million-token AI serving platform.
H A R S H H A AAI Token Cost: What Is a Token — and How Every Model Games the Count
Complaints about opaque AI pricing are flooding social media. Which ones hold up to scrutiny and which are just users' overactive imaginations? How do models slip past their own published rate cards? How do usage limits actually work, and why do companies benefit from keeping the explanations as vague as possible?
H A R S H H A ACI/CD in DevOps: Building a Scalable Pipeline on AWS
How to take a Node.js application from local git push to zero-downtime AWS deployment using CodePipeline, CodeBuild, and CodeDeploy.
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